Baze University, Abuja
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Wastewater treatment plant performance analysis using artificial intelligence–an ensemble approach
V Nourani, G Elkiran, SI Abba
Water Science and Technology 78 (10), 2064-2076, 2018
Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river
G Elkiran, V Nourani, SI Abba, J Abdullahi
Global Journal of Environmental Science and Management 4 (4), 439-450, 2018
River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques
JA S.I.Abbaa, Sinan Jasim Hadia
Elsevier B.V. Procedia Computer Science 120 (2017) 120, 75–82, 2017
Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and gis techniques
R Costache, QB Pham, E Sharifi, NTT Linh, SI Abba, M Vojtek, ...
Remote Sensing 12 (1), 106, 2020
Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach
G Elkiran, V Nourani, SI Abba
Journal of Hydrology 577, 123962, 2019
Effluent prediction of chemical oxygen demand from the astewater treatment plant using artificial neural network application
SI Abba, G Elkiran
Procedia computer science 120, 156-163, 2017
Potential of hybrid data-intelligence algorithms for multi-station modelling of rainfall
QB Pham, SI Abba, AG Usman, NTT Linh, V Gupta, A Malik, R Costache, ...
Water Resources Management 33 (15), 5067-5087, 2019
Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant
SI Abba, QB Pham, AG Usman, NTT Linh, DS Aliyu, Q Nguyen, QV Bach
Journal of Water Process Engineering 33, 101081, 2020
Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
B Mohammadi, NTT Linh, QB Pham, AN Ahmed, J Vojteková, Y Guan, ...
Hydrological Sciences Journal 65 (10), 1738-1751, 2020
Simulation for response surface in the HPLC optimization method development using artificial intelligence models: A data-driven approach
SI Abba, AG Usman, I Selin
Chemometrics and Intelligent Laboratory Systems 201, 104007, 2020
Design and Performance Evaluation of a Low-Cost Autonomous Sensor Interface for a Smart IoT-Based Irrigation Monitoring and Control System
S Abba, J Wadumi Namkusong, JA Lee, M Liz Crespo
Sensors 19 (17), 3643, 2019
An autonomous self-aware and adaptive fault tolerant routing technique for wireless sensor networks
S Abba, JA Lee
Sensors 15 (8), 20316-20354, 2015
A parametric-based performance evaluation and design trade-offs for interconnect architectures using FPGAs for networks-on-chip
S Abba, JA Lee
Microprocessors and Microsystems 38 (5), 375-398, 2014
Non-linear input variable selection approach integrated with non-tuned data intelligence model for streamflow pattern simulation
SJ Hadi, SI Abba, SS Sammen, SQ Salih, N Al-Ansari, ZM Yaseen
IEEE Access 7, 141533-141548, 2019
Examining the performance impact of NoC parameters for scalable and adaptive FPGA-based network-on-chips
S Abba, JA Lee
2013 Fifth International Conference on Computational Intelligence, Modelling …, 2013
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination
SI Abba, SJ Hadi, SS Sammen, SQ Salih, RA Abdulkadir, QB Pham, ...
Journal of Hydrology 587, 124974, 2020
A Novel Multi‑model Data‑Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development
AG Usman, S Işik, SI Abba
Chromatographia 83, 933–945, 2020
FPGA-based design of an intelligent on-chip sensor network monitoring and control using dynamically reconfigurable autonomous sensor agents
S Abba, JA Lee
International Journal of Distributed Sensor Networks 12 (2), 4246596, 2016
Modelling of uncertain system: a comparison study of linear and non-linear approaches
SI Abba, MS Gaya, ML Yakubu, MU Zango, RA Abdulkadir, MA Saleh, ...
2019 IEEE International Conference on Automatic Control and Intelligent …, 2019
Modelling the Absorbance of a Bioactive Compound in HPLC Method using Artificial Neural Network and Multilinear Regression Methods
HU Abdullahi, AG Usman, SI Abba
vol 6, 362-371, 2020
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